Instructions to use Jonjew/JeanSeberg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/JeanSeberg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/JeanSeberg") prompt = "{" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/1344-jeanseberg smiling broadly, ample teeth-Fluxflux1-dev-fp8-1842157694.png
ADDED
|
Git LFS Details
|
jean-seberg.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:acebc9ef37a2c1db314b2e6228d98d769cc00905236e8e23ecac6ab3539db802
|
| 3 |
+
size 18217900
|